Triple
T1163712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrade |
E24551
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Zvezdara
Zvezdara is a residential and hilly municipality of Belgrade known for its large forested area and the Belgrade Observatory.
|
E133515
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zvezdara | Statement: [Belgrade, hasMunicipality, Zvezdara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zvezdara Context triple: [Belgrade, hasMunicipality, Zvezdara]
-
A.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
-
B.
Nova Gorica
Nova Gorica is a Slovenian town on the border with Italy, known for its post-World War II development as a planned city and its close integration with the neighboring Italian town of Gorizia.
-
C.
Niš
Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
-
D.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
E.
Baščaršija
Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zvezdara Triple: [Belgrade, hasMunicipality, Zvezdara]
Generated description
Zvezdara is a residential and hilly municipality of Belgrade known for its large forested area and the Belgrade Observatory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zvezdara Target entity description: Zvezdara is a residential and hilly municipality of Belgrade known for its large forested area and the Belgrade Observatory.
-
A.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
-
B.
Nova Gorica
Nova Gorica is a Slovenian town on the border with Italy, known for its post-World War II development as a planned city and its close integration with the neighboring Italian town of Gorizia.
-
C.
Niš
Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
-
D.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
E.
Baščaršija
Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcc9dc5081908e225a485186ab12 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66803e0881908d2eea76dad028fa |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac670b57808190bee4aa0be78ae8a1 |
completed | March 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac67e981e88190b10ad4ab72337557 |
completed | March 7, 2026, 6:01 p.m. |
Created at: March 1, 2026, 7:45 p.m.